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Leaf Recognition Algorithm for Retrieving Medicinal Information

  • D Venkataraman
  • Siddharth Narasimhan
  • N Shankar
  • S Varun Sidharth
  • D Hari Prasath
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 530)

Abstract

India has a vast history of using plants as a source of medicines. This science is termed as Ayurveda. But, sadly somewhere in the race of keeping up with medicinal science and technology, India as a country has lost its track in the field of Ayurveda. Researchers and medicinal practitioners today, in spite of knowing that allopathic medicines are made using certain plant extracts, are oblivious about the medicinal the properties of plants. This paper aims at eradicating this problem, and hence strives to help potential users make better use of plants with medicinal properties. The dataset consists of 300 images of different types of leaves. The classification of the leaves is done with the help of a decision tree. Our system is an easy to use application which is fast in execution too. The objective of doing this paper is to develop an application for leaf recognition for retrieving the medicinal properties of plants. The recognition of leaves is done by extracting the features of the leaves from the images. The primary stakeholders involved with this project are researchers, medical practitioners and people with a keen interest in botany. We believe that this application will be an important part of the mentioned stakeholders’ daily lives. The primary purpose that this paper serves is to solve the problem of not knowing the useful properties of many plants.

Keywords

Back Propagation Neural Network Medicinal Property Probabilistic Neural Network Leaf Image Vein Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Stephen Gang Wu, “A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network”, IEEE International Symposium on Signal Processing and Information Technology, pp.1-16, 2007.Google Scholar
  2. 2.
    H. Fu and Z. Chi, “Combined Thresholding and Neural Network Approach For Vein Pattern Extraction From Leaf Images,” IEE Proceedings- Vision, Image and Signal Processing, Vol. 153, No. 6, December 2006.Google Scholar
  3. 3.
    Jonathon Shlens, “A Tutorial on Principal Component Analysis”, [Online]. Available: http://www.cs.cmu.edu/helaw/papers/pca.pdf
  4. 4.
    Ching-Yung Lin, “Rotation, Scale, and Translation Resilient Watermarking for Images”, “IEEE Trans Image Processing”, Vol.10, No. 5, 2001.Google Scholar
  5. 5.
    http://mathematica.stackexchange.com/questions/21059/how-can-i-detect-a- rectangular-region-of-interest-in-a-picture, “Details on Rectangularity in Image Processing”
  6. 6.
  7. 7.
    http://mathworld.wolfram.com/ConvexHull.html, “Understanding Convex Hull Algorithm”
  8. 8.

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • D Venkataraman
    • 1
  • Siddharth Narasimhan
    • 1
  • N Shankar
    • 1
  • S Varun Sidharth
    • 1
  • D Hari Prasath
    • 1
  1. 1.Department of Computer Science and Engineering, Amrita School of EngineeringAmrita Vishwa Vidyapeetham, Amrita UniversityCoimbatoreIndia

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